Wavelet invariants for statistically robust multi-reference alignment

Matthew Hirn1, Anna Little2

  • 1Department of Computational Mathematics, Science and Engineering, Department of Mathematics and Center for Quantum Computing, Science and Engineering, Michigan State University, East Lansing, MI 48824.

Information and Inference : a Journal of the IMA
|January 24, 2022
PubMed
Summary

We developed a novel wavelet-based signal method that is resilient to noise and distortions. This technique accurately reconstructs signal power spectra, overcoming limitations of traditional methods.

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